Synthetic biomarkers, bioengineered sensors that generate molecular reporters in diseased microenvironments, represent an emerging paradigm in precision diagnostics. Despite the utility of DNA barcodes as a multiplexing tool, their susceptibility to nucleases in vivo has limited their utility. Here we exploit chemically stabilized nucleic acids to multiplex synthetic biomarkers and produce diagnostic signals in biofluids that can be 'read out' via CRISPR nucleases. The strategy relies on microenvironmental endopeptidase to trigger the release of nucleic acid barcodes and polymerase-amplification-free, CRISPR-Cas-mediated barcode detection in unprocessed urine. Our data suggest that DNA-encoded nanosensors can non-invasively detect and differentiate disease states in transplanted and autochthonous murine cancer models. We also demonstrate that CRISPR-Cas amplification can be harnessed to convert the readout to a point-of-care paper diagnostic tool. Finally, we employ a microfluidic platform for densely multiplexed, CRISPR-mediated DNA barcode readout that can potentially evaluate complex human diseases rapidly and guide therapeutic decisions.
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http://dx.doi.org/10.1038/s41565-023-01372-9 | DOI Listing |
Orphanet J Rare Dis
January 2025
Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus, Groningen, 30001 - 9700 RB, the Netherlands.
Background: Glycogen storage disease (GSD) Ia is an ultra-rare inherited disorder of carbohydrate metabolism. Patients often present in the first months of life with fasting hypoketotic hypoglycemia and hepatomegaly. The diagnosis of GSD Ia relies on a combination of different biomarkers, mostly routine clinical chemical markers and subsequent genetic confirmation.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Urology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, Anhui, People's Republic of China.
To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels < 20 ng/ml to minimize prostate biopsy-related discomfort and risks. Data from 655 patients who underwent transperineal prostate biopsy at the First Affiliated Hospital of Wannan Medical College from July 2021 to January 2023 were collected and analyzed. After applying the Synthetic Minority Over-sampling TEchnique class balancing on the training set, multiple machine learning models were constructed by using the Least Absolute Shrinkage and Selection Operator (LASSO) feature selection to identify the significant variables.
View Article and Find Full Text PDFJ Hepatol
January 2025
Department of Surgery, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China. Electronic address:
Background & Aims: The ubiquitin receptor ADRM1/Rpn13 governs the specificity of eukaryotic protein degradation. By SMRT sequencing, we first discovered a novel spliced variant of ADRM1 with a skipped exon 9, termed ADRM1-ΔEx9, in human hepatocellular carcinoma (HCC). This study aimed to elucidate this novel ubiquitin receptor's underlying biology and clinical implications in HCC.
View Article and Find Full Text PDFForensic Sci Int
January 2025
Laboratoire de Pharmacologie - Toxicologie, CHU de Saint-Etienne, Saint-Etienne, France; INSERM, UMR 1059, Dysfonction Vasculaire et de l'Hémostase, Université de Lyon, Saint-Etienne, France. Electronic address:
3-Chloromethcathinone (3-CMC) is a synthetic cathinone that has been identified as a new psychoactive substance (NPS) by the European Monitoring Centre for Drugs and Drug Addiction. Despite its increasing prevalence in the recreational drug market since 2014, scientific literature on 3-CMC remains limited. This study employed a multi-step approach to investigate 3-CMC metabolism.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA
Background: Structural and functional heterogeneity in the brains of patients with Alzheimer's disease (AD) leads to diagnostic and prognostic uncertainty and confounds clinical treatment planning. Normative modelling, where individual‐level deviations in brain measures from a reference sample are computed to infer personalized effects of disease, allows parsing of disease heterogeneity. In this study, GAN based normative modelling technique quantifies individual level neuroanatomical abnormality thereby facilitating measurement of personalized disease related effects in AD patients.
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